Literature DB >> 22981585

Individual animal variability in ruminal bacterial communities and ruminal acidosis in primiparous Holstein cows during the periparturient period.

R Mohammed1, D M Stevenson, P J Weimer, G B Penner, K A Beauchemin.   

Abstract

The purpose of this study was to investigate variability among individual cows in their severity of ruminal acidosis (RA) pre- and postpartum, and determine whether this variability was related to differences in their ruminal bacterial community composition (BCC). Variability in the severity of RA among individual cows was characterized based on ruminal fermentation variables. Effects of prepartum dietary treatment on the severity of RA were also examined. Fourteen Holstein heifers paired by expected calving date and BCS were allotted to 1 of 2 prepartum dietary treatments: low-concentrate or high-concentrate diets. All cows received the same lactation diet postpartum. Microbial DNA extracted from 58 ruminal digesta samples in total collected prepartum (d -50, -31, and -14; 27 samples) and postpartum (d +14 and +52; 31 samples) and amplified by PCR were subjected to automated ribosomal intergenic spacer analysis. Changes in ruminal variables over time [pH, volatile fatty acids (VFA), and acidosis indicators, including duration and area under the rumen pH curve below 5.8, 5.5, and 5.2, measured on d -54, -35, -14, -3, +3, +17, +37, and +58] were analyzed using principal components analysis. Based on the shift (defined as the distance of the mean loadings) between the prepartum and postpartum period for each cow, the 14 cows were classified into 3 groups: least acidotic (n=5), most acidotic (n=5), and intermediate (n=4). Cows in the most acidotic group had greater severity of RA (measured as duration of total RA, mild RA, moderate RA, and acute RA; area under the pH curve for total RA, mild RA, and moderate RA) postpartum than prepartum, and this difference between periods was greater than for the least acidotic cows. Similarly, the RA index (total area of pH <5.8 normalized to intake) showed an interaction between severity of RA and period. The variation in the severity of RA was independent of intake, total VFA concentration, and individual VFA proportions. Production variables (milk yield, fat percentage, fat yield, fat-corrected milk, and efficiency of milk production) were not influenced by the severity of RA. Ruminal BCC was not influenced by dietary treatment or period. However, some cows experienced greater shift in BCC than other cows across the periods. Based on the magnitude of the shift in BCC (distance between mean ordination values across the periods for each cow), cows were grouped into 3 BCC profile categories: stable (5 cows with lesser shift), unstable (5 cows with greater shift), and intermediate (4 cows with average shift). Cows demonstrating a greater shift in BCC were not necessarily those in the most acidotic group and vice versa. The shift in ruminal fermentation variables (principal components analysis rankings) and the shift in BCC (automated ribosomal intergenic spacer analysis rankings) between pre- and postpartum were not related (n=14; R(2)=0.00). It was concluded that not all cows are equally susceptible to RA and postpartum shifts in BCC appear to be independent of the differences in the severity of RA postpartum.
Copyright © 2012 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22981585     DOI: 10.3168/jds.2012-5772

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  10 in total

1.  Characterization of the core rumen microbiome in cattle during transition from forage to concentrate as well as during and after an acidotic challenge.

Authors:  Renee M Petri; Tyler Schwaiger; Greg B Penner; Karen A Beauchemin; Robert J Forster; John J McKinnon; Tim A McAllister
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

2.  Induction of Subacute Ruminal Acidosis Affects the Ruminal Microbiome and Epithelium.

Authors:  Joshua C McCann; Shaoyu Luan; Felipe C Cardoso; Hooman Derakhshani; Ehsan Khafipour; Juan J Loor
Journal:  Front Microbiol       Date:  2016-05-18       Impact factor: 5.640

3.  Rumen Bacteria Communities and Performances of Fattening Lambs with a Lower or Greater Subacute Ruminal Acidosis Risk.

Authors:  Fei Li; Zhilan Wang; Chunxiao Dong; Fadi Li; Weimin Wang; Zehu Yuan; Futao Mo; Xiuxiu Weng
Journal:  Front Microbiol       Date:  2017-12-12       Impact factor: 5.640

4.  Transcriptome analysis of ruminal epithelia revealed potential regulatory mechanisms involved in host adaptation to gradual high fermentable dietary transition in beef cattle.

Authors:  K Zhao; Y H Chen; G B Penner; M Oba; L L Guan
Journal:  BMC Genomics       Date:  2017-12-19       Impact factor: 3.969

5.  Parturition and postpartum dietary change altered ruminal pH and the predicted functions of rumen bacterial communities but did not alter the bacterial composition in Holstein cows.

Authors:  Yo-Han Kim; Atsushi Kimura; Toshihisa Sugino; Shigeru Sato
Journal:  Front Vet Sci       Date:  2022-08-26

6.  Susceptibility of dairy cows to subacute ruminal acidosis is reflected in both prepartum and postpartum bacteria as well as odd- and branched-chain fatty acids in feces.

Authors:  Hong Yang; Stijn Heirbaut; Xiaoping Jing; Nympha De Neve; Leen Vandaele; Jeyamalar Jeyanathan; Veerle Fievez
Journal:  J Anim Sci Biotechnol       Date:  2022-10-05

Review 7.  Redundancy, resilience, and host specificity of the ruminal microbiota: implications for engineering improved ruminal fermentations.

Authors:  Paul J Weimer
Journal:  Front Microbiol       Date:  2015-04-10       Impact factor: 5.640

Review 8.  High-throughput Methods Redefine the Rumen Microbiome and Its Relationship with Nutrition and Metabolism.

Authors:  Joshua C McCann; Tryon A Wickersham; Juan J Loor
Journal:  Bioinform Biol Insights       Date:  2014-06-08

9.  The Contribution of Mathematical Modeling to Understanding Dynamic Aspects of Rumen Metabolism.

Authors:  André Bannink; Henk J van Lingen; Jennifer L Ellis; James France; Jan Dijkstra
Journal:  Front Microbiol       Date:  2016-11-23       Impact factor: 5.640

10.  Temporal Dynamics in Rumen Bacterial Community Composition of Finishing Steers during an Adaptation Period of Three Months.

Authors:  Qinghua Qiu; Chaoyu Gao; Zhibiao Gao; Muhammad Aziz Ur Rahman; Yang He; Binghai Cao; Huawei Su
Journal:  Microorganisms       Date:  2019-10-01
  10 in total

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